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Full-Text Articles in Physical Sciences and Mathematics

Identifying Worldviews On Corporate Sustainability: A Content Analysis Of Corporate Sustainability Reports, Nancy E. Landrum, Brian M. Ohsowski Nov 2017

Identifying Worldviews On Corporate Sustainability: A Content Analysis Of Corporate Sustainability Reports, Nancy E. Landrum, Brian M. Ohsowski

School of Environmental Sustainability: Faculty Publications and Other Works

Companies commonly issue sustainability or corporate social responsibility (CSR) reports. This study seeks to understand worldviews of corporate sustainability, or the corporate message conveyed regarding what sustainability or CSR is and how to enact it. Content analysis of corporate sustainability reports is used to position each company report within stages of corporate sustainability. Results reveal that there are multiple coexisting worldviews of corporate sustainability, but the most dominant worldview is focused on the business case for sustainability, a position anchored in the weak sustainability paradigm. We contend that the business case and weak sustainability advanced in corporate sustainability reports and …


Fossil Fuel Asset Risk Analysis: Clark University Endowment, Travis A. Dodge, B. Maiwand Akbari Jun 2017

Fossil Fuel Asset Risk Analysis: Clark University Endowment, Travis A. Dodge, B. Maiwand Akbari

Student Works

The environmental and social risks of climate change are well known and perhaps inevitable. The economic and financial risks are less so. The many financial risks associated with climate change embedded in endowment portfolio fossil fuel holdings are leading many institutional stakeholders to enter into dialogue and take action. Divestment is emerging as an effective strategy for limiting portfolio exposure and tackling climate change itself.

Our team’s goals were to assess whether the Clark University endowment portfolio faces any of these risks and evaluate the impacts on asset values. Our findings show that the Clark endowment does face these same …


Household Informedness And Policy Analytics For The Collection And Recycling Of Household Hazardous Waste In California, Kustini Lim-Wavde, Robert J. Kauffman, Gregory S. Dawson May 2017

Household Informedness And Policy Analytics For The Collection And Recycling Of Household Hazardous Waste In California, Kustini Lim-Wavde, Robert J. Kauffman, Gregory S. Dawson

Research Collection School Of Computing and Information Systems

Collection and recycling of household hazardous waste (HHW) can vary due to differences in household incomes, demographics, material recyclability, and HHW collection programs. We evaluate the role of household informedness, the degree to which households have the necessary information to make utility-maximizing decisions about the handling of their waste. Household informedness seems to be influenced by HHW public education and environmental quality information. We assess the effects of household informedness on HHW collection and recycling using panel data, community surveys, drinking water compliance reports, and census data in California from 2004 to 2012. The results enable the calculation of …


Parallel Design Of A Product And Internet Of Things (Iot) Architecture To Minimize The Cost Of Utilizing Big Data (Bd) For Sustainable Value Creation, Ryan Bradley, Ibrahim S. Jawahir, Niko Murrell, Julie Whitney Apr 2017

Parallel Design Of A Product And Internet Of Things (Iot) Architecture To Minimize The Cost Of Utilizing Big Data (Bd) For Sustainable Value Creation, Ryan Bradley, Ibrahim S. Jawahir, Niko Murrell, Julie Whitney

Institute for Sustainable Manufacturing Faculty Publications

Information has become today's addictive currency; hence, companies are investing billions in the creation of Internet of Things (IoT) frameworks that gamble on finding trends that reveal sustainability and/or efficiency improvements. This approach to “Big Data” can lead to blind, astronomical costs. Therefore, this paper presents a counter approach aimed at minimizing the cost of utilizing “Big Data” for sustainable value creation. The proposed approach leverages domain/expert knowledge of the system in combination with a machine learning algorithm in order to limit the needed infrastructure and cost. A case study of the approach implemented in a consumer electronics company is …